تجارت بین الملل، وفور منابع پایان پذیر و رشد اقتصادی
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|12972||2012||22 صفحه PDF||52 صفحه WORD|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Review of Economic Dynamics, Volume 15, Issue 1, January 2012, Pages 72–93
بخش استخراج کننده
مسئله بهینه سازی خانوارها
موازنه قیمت عامل
همگرایی و رشد بلند مدت
نتیجه گیری ها
Countries with oil and other natural resources have grown less rapidly than those countries without. This phenomenon is known as the “natural resource curse”. We develop an infinite-horizon, two-country model of trade in which countries are identical, except that one country is endowed with deposits of an exhaustible resource and the other is not. Within the context of the model, we show that this phenomenon can be explained in part by an inelastic demand for the exhaustible resource that increases growth in trade revenues and induces the resource-abundant country to invest relatively less than the country lacking in exhaustible resources. These results are derived analytically and illustrated by an empirical analysis based on plausible parameters obtained from data.
The economics of exhaustible resources received increased attention following Sachs and Warner’s (1995, 2001) suggestion that countries with ample natural resources tend to grow less rapidly than natural resource-scarce countries. This apparent paradox led to a number of papers with conflicting findings. Sala-i-Martin (1997) and Doppelhofer et al. (2000) find the export share of primary products to be negatively correlated with economic growth. They also find, however, that the fraction of GDP in mining and GDP growth are positively correlated. Papyrakis and Gerlagh (2007) find economic growth among U.S. states to be negatively affected by their natural resource abundance. Empirical studies by Lederman and Maloney (2003), Stijns (2005) and Brunnschweiler (2008) either come to opposite conclusions or find that natural resource abundance does not affect growth. Brunnschweiler and Bulte (2008) conclude from their statistical analysis that the apparent paradox may be a red herring.1 Given this puzzling empirical evidence, the challenge is whether a theoretical model that posits a specific yet plausible economic structure can help us understand whether and how resource abundance affects economic growth, thus alleviating to some degree the red herring suggestion. Instead of focusing on the broader concept of natural resource abundance,we focus on analyzing the effects of exhaustible resource abundance on economic growth.2 Since exhaustible resources are exported to countries deficient in these resources (referred to henceforth as resource-poor countries), we argue that resource-poor countries likely play a role in the growth performance of the endowed countries (referred to henceforth as resource-abundant countries). Further, the abundance of these resources must also influence the economic performance of resource-poor countries.3 The main contribution of this paper is to show that country interdependence through trade can give rise to the resource curse under plausible conditions. This interrelationship is the key focus of this paper. We consider a continuous-time, infinite-horizon two-country model of trade and analyze the conditions which lead a resource-abundant country to grow less rapidly than a resource-poor country—we call this the resource curse (henceforth RC). One country is endowed with deposits of an exhaustible resource (such as petroleum). The countries produce an identical final good with the same technology using a flow of the exhaustible resource and human and physical capital. At each instant of time, the resource-abundant country extracts and employs some of the exhaustible resource to produce the final good and exports the remainder to the resource-poor country. International borrowing is not allowed and trade between the two countries is balanced at each instant of time. Each country has a representative household that maximizes discounted instant utility from consuming the final good subject to a budget constraint. Consumers across countries have identical preferences. Thus, countries are identical and differ only with regard to their initial endowments of the exhaustible resource and possibly capital stocks. Since, after controlling for corruption, Sachs and Warner (1995) find that resource abundance negatively affects economic growth, we first consider a setting in which capital stocks across countries are equal as a way to abstract from corruption and institutional effects. The model suggests that even under these circumstances, the RC can occur. We analytically characterize the conditions causing the rate of growth of the resource-abundant country’s gross domestic product (GDP) to be transitionally smaller than that of the other country. This “growth gap” solely depends on technological and preference parameters. Specifically, the size of the elasticity of intertemporal substitution and the exhaustible resource demand’s own price elasticity play a crucial role in determining whether such a gap occurs. In particular, given an elasticity of intertemporal substitution equal to or less than unity, the more own price inelastic is the derived demand for the exhaustible resource, the larger the growth gap, that is, the stronger the RC. This result may seem counterintuitive. In the process of growth, an inelastic demand for a flow resource mined from an exhaustible resource tends to generate a growing income stream to the resource-abundant country which, one may incorrectly conclude favors the country’s relative income growth. An intuitive explanation is the following. An inelastic own price elasticity of demand for the resource is associated with a factor of production that accounts for a relatively small share in the value of total output, as is the case with petroleum. In the process of economic growth, the stock of the resource is depleted, the price of the flow resource increases in transition, and the inelastic own price elasticity causes the total revenue remunerated to the resource-abundant country to increase. Households in the resource-poor country obtain a higher discounted value of utility by saving to increase their human and physical capital stocks (and income) to remunerate the increasing cost of the flow resource, thus causing trade to be balanced. The growing income stream from exports of the exhaustible resource induces households in the resource-abundant country to invest relatively less than those in the other country, and thus, at the expense of future income growth. This effect is reinforced the stronger incentives are to smooth consumption over time. Our empirical exercise helps to confirm our analytical results and shows that our model can explain about one-fourth of the average GDP growth gap between resource-poor and resource-abundant countries observed in the data. Several hypotheses have been put forward to explain why resource-abundant economies grow less rapidly than resourcepoor countries. Tornell and Lane (1995) argue that it may be explained by the struggle of groups attempting to extract natural resource rents. Sachs and Warner (1995) argue in favor of Dutch Disease effects (see Corden, 1984 for a survey on this literature). Rodríguez and Sachs (1999, p. 278) argue that “resource-rich countries may grow more slowly because they are likely to be living beyond their means . . . ”. We argue that the interaction of resource-abundant and resource-poor countries through international trade plays a role in the growth performance of resource-abundant countries. The structure of our model draws upon early well-known literature on exhaustible resources.4 While many studies focus on single economies (e.g. Rodríguez and Sachs, 1999, and Kemp and Long, 1982), only few address international trade issues associated with exhaustible resources. Among these are Asheim (1986) and Hartwick (1995), who study a two-country world and investigate whether constant consumption paths are achievable when rents accruing to exhaustible resources are invested in new capital. Kemp and Long (1980) analyze monopsonistic behavior in a two-country model with exhaustible resources, absent of physical capital. Brander and Taylor (1998) and Jinji (2007) investigate the effect of international trade on welfare using Ricardian models of trade with renewable resources.Our work relates more closely to that of Chiarella (1980b) and Geldrop and Withagen (1993). Chiarella uses a twocountry model. One country supplies an exhaustible resource, whereas the other produces a final good which it exports in exchange for the exhaustible resource. Chiarella studies the dynamic behavior and stability properties of consumption shares. In contrast to this work, we allow both countries to be engaged in the production of the final good. In this way, the model can transitionally display different cross-country GDP growth rates. Geldrop and Withagen introduce n number of trading partners and consider neoclassical production functions and extraction costs. They study the dynamic behavior of consumption. They abstract from any engine of growth, and thus consumption approaches zero in the long run. We consider two economies and do not consider extraction costs. However, we allow for technological change, which enables positive levels of consumption and human and physical capital stocks to be achieved in the long run. Similarly to Geldrop and Withagen, we investigate the dynamic behavior of consumption. In addition, however, we show analytically, for near steady states, the dynamic behavior of the model’s variables. With the use of an empirical model, we subsequently test whether the model is able to transitionally generate the differences in GDP growth rates observed in the data. The paper is organized as follows. In Section 2, we introduce the model and characterize equilibrium. We then proceed in Section 3 to analyze the convergence properties of the model. In Section 4 we analytically analyze the dynamic behavior of variables in near steady states and derive conditions under which the resource-abundant country’s income grows less (more) rapidly than that of the resource-poor country. In Section 5 we simulate the model under plausible parameter values.
نتیجه گیری انگلیسی
The apparent paradox that the income of countries with ample natural resources grows less rapidly than that of natural resource-scarce countries has led to a number of papers with conflicting empirical findings, suggesting that more theoretical work may determine whether plausible structural features can help explain this paradox. We develop a continuous-time, infinite-horizon two-country model of trade in which countries are identical, except that one country is endowed with deposits of an exhaustible resource (such as petroleum). We find a condition not considered in previous work that may cause an exhaustible resource-abundant country’s GDP to grow more slowly than that of an exhaustible resource-scarce country. We call this condition the resource curse condition. This condition depends purely on preference and technological parameters. The key preference parameter is the willingness to smooth consumption, measured by the intertemporal elasticityof substitution; the key technological parameter is the degree of inelasticity of the derived demand for the flow resource mined from an exhaustible resource. Other parameters matter, but they do not reverse the condition. The more inelastic the demand for exhaustible resources, the greater the resource curse. An inelastic demand for the flow resource generates a growing revenue stream which, one may think, favors GDP growth in the resource-abundant country. Our model predicts the opposite. An intuitive explanation is the following. In the process of economic growth, the price of the flow resource increases, and an inelastic exhaustible resource demand causes the total revenue remunerated to the resource-abundant country to increase. The growing income stream from exports of the resource induces households in the resource-abundant country to invest relatively less than those of the other country, at the expense of future income growth. In addition, the greater consumers’ preferences to smooth consumption are, the greater their disincentives to invest, thus exacerbating the curse. Our computations suggest that the resource curse condition holds for plausible parameter values. We also simulate the model to test whether it is capable of replicating the gap in GDP growth rates that we observe in the data. Our benchmark simulation assumes that both countries have the same initial endowment of human and physical capital as a way to abstract from corruption and institutional effects. The numerical exercises confirm our analytical results and show that the model can account for about one fourth of the average GDP growth gap between resource-poor and resource-abundant countries observed in the data. With equal initial capital stocks across countries, a larger initial exhaustible resource stock induces a transitionally larger GDP growth gap between the resource-poor country and the resource-abundant country. We explain this phenomenon as follows. A larger initial exhaustible resource stock leads to a larger world aggregate (human and physical) capital stock in the long run and therefore, to larger long-run revenues from sales of the exhaustible resource. These larger revenues discourage investment in the resource-abundant country to a greater extent than the case where the resource endowment is smaller. The GDP growth gap between the two countries is therefore transitionally larger. Initial capital stocks do not influence the resource curse condition. However, if the resource curse condition holds, the larger the ratio of aggregate capital of the resource-abundant country to that of the resource-poor country the smaller the GDP growth gap between the two countries. This result may explain why some resource-rich countries experience a smaller negative effect of resource abundance, they had a relatively large stock of capital when their resource discoveries were made. When allowing for different initial endowments of capital, the model can generate about two thirds of the gap in GDP growth rates observed in the data.